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Cast: #GenPadova with Ikari & #ByronLong #rhapiuREVIEWS 735 scene 4 #ReleasedThisYear2003 ANALrhapiu BIGCOCKrhapiu INTERRACIALrhapiu TEENrhapiu BJrhapiu

265,024 просмотров • 3 лет назад •via X (Twitter)

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Video content creation sounds simple, but what if you don’t have time to: • Write the script, • Prepare the visuals, • Generate the voiceover, • Create the subtitles, • And finally render the video? This is why we built Noustiny on top of Nous Research Hermes Agent by adding 12 generic Hermes tools + 13 generic Hermes skills, bringing the whole process into one single flow. How does it work? Let’s take a closer look 👇 ———— 1- Story state: context, tree, motifs: Hermes had no built-in narrative-state primitive for tracking canon, branching story structure, and recurring motifs. So we added three generic Hermes tools for this: → story_tree_graph: Manages the story tree structure. It handles operations like canon path, descendants, and splice insertion points. → narrative_context_builder: Walks the canon chain and returns the live context every narrative skill should reason against. This includes recent chain, mood, and character state. → motif_tracker: Remembers recurring motifs across the story arc. For example, a sword introduced in beat 2 can reappear meaningfully in later scenes. ———— 2- Character / cast pipeline: Hermes had no built-in primitive for cast extraction or character continuity. So we added a four-tool character pipeline: → story_copyright_detector: Handles IP scrubbing. For example, “Iron Man” is converted into an IP-free character description before the image API ever sees it. → character_sheet_builder: Produces 1 to 4 characters. For each character, it creates an IP-free visual description and a hero-portrait prompt. These portraits become the reference frames used across later storyboard scenes. → character_registry_lookup: Finds a character by name inside the cast sheet and attaches the correct portrait reference to each beat. → character_alias_resolver: Resolves aliases like “Mr. Stark” into the main character name. This way, the same character keeps one portrait reference even if they appear under different names. ———— 3- Voice pipeline: Hermes had no built-in primitive for audio acquisition or voice cloning. So we added the full voice chain, and the agent dispatches it autonomously in order: → narration_voice_director: The director-agent reads the seed + story and returns persona_label, search_query, and fallback_query. → voice_sample_builder: Uses yt-dlp + ffmpeg. It accepts a URL, an 11-character ID, or a free-text query. It runs ytsearch5 with dead-video tolerance and normalizes the audio to 24 kHz mono PCM. → voice_clone_synthesize: Wraps ElevenLabs IVC + timestamps. The voice ID is cached by reference SHA. Per-character alignment comes through the same audio call at no extra cost. → voice_clone_cleanup: Frees the cached voice ID after render so orphan voices do not accumulate. ———— 4- Render: Hermes had no built-in video-render entry. So we added the final render tool: → noustiny_storybook: The agent dispatches it as the final step of the chain. One tool call drives the FastAPI render service end to end and emits the mp4. ———— 5- Skills: 13 generic Hermes skills added into skills/creative/: The branching engine in Noustiny works like a council of narrative skills. Each skill is loaded by the gateway as a system prompt and orchestrated in this order: → narrative-brainstorm: Proposes 2 to 3 next-checkpoint options from the canon chain. → narrative-writer-assist: Writes a spliced insert beat that fits the parent and child. → narrative-continuity-critic: Audits downstream beats against the new insert. → narrative-rewriter: Updates the stale beats flagged by the continuity critic. → narrative-judge: Approves or rejects the rewrite against the original flow. → narrative-scene-qa: Checks each beat for consistency, length, and register. → narrative-writer: Finalizes the chosen branch as polished prose. After one splice, this cascade walks downstream by itself until the canon becomes coherent again. ———— 6- Visual + IP pipeline: On the visual side, the goal is not just generating scenes. It is also preserving character continuity and IP safety. This pipeline runs through these skills: → visual-prompt-builder: Turns a beat into an IP-free image prompt and reads the character-sheet references. → scene-composition: Defines shot framing, scene composition, and layout rules. → story-copyright-detector: Skill counterpart of the same-named tool. It can be used for direct slash-command invocation. → character-sheet-builder: Skill counterpart of the same-named tool. Defines cast extraction rules and the IP-free portrait-prompt format used to seed character consistency across the storyboard. → storybook-intro: Generates the cinematic intro page for the render. ———— 7- Voice skill: → narration-voice-director: Defines persona reasoning rules and supports the decision logic behind the same-named voice tool. ———— 8- Pattern: Hermes baseline already had the gateway, agent loop, skill registry, and tool registry. We extended that foundation with 12 generic Hermes tools + 13 generic Hermes skills and organized the system into four main pipelines: • story-state • character continuity • voice • render The important part is this: Noustiny is not a hardcoded system locked inside a single app. A Telegram bot, Discord bot, CLI session, or third-party Next.js app can call the same gateway and use the same tool + skill chains. - No app glue. - No hardcoded prompts. - A drop-in, registry-compatible, agent-native video creation flow. ✅Github:

Ufuk

28,903 просмотров • 2 месяцев назад

Kenneth Branagh's #Cinderella (2015) remains my favorite Disney live-action remake, and this particular scene is exactly why the remake justifies its existence and deserves to sit among the very best of the Cinderella library. The Prince actually joins the search for Ella in disguise instead of simply waiting in the castle. Along the way, he confirms his suspicions about the Grand Duke's dishonesty when he catches him trying to abandon the search after hearing Ella singing. Even better, he personally witnesses the Stepmother's cruelty when she's exposed right in front of him and the guards accompanying him in disguise. This change adds so much more depth and personality to the Prince, making him feel like an active participant in the story rather than someone who just waits for fate to reunite him with Ella. It also makes their romance feel much more mutual, since he's willing to go out and search for her himself. Now that's how you expand a relationship in a live-action remake without betraying what made the original so timeless! Oh my god, I can't stress enough how perfectly everyone in this movie was cast. From the performances to the writing, cinematography, costumes, production design, the beautiful score, and Branagh's elegant direction, nearly every aspect of the filmmaking feels close to perfection. Like I've said before, it feels like a whimsical, Jane Austen-esque fairy tale brought to life. I still remember seeing this movie in theaters, and when the Prince finally revealed himself during the slipper search, everyone in the audience gasped. It was such a satisfying payoff because, for the first time, he wasn't just waiting for Ella to come back to him, he had been there all along, determined to find her himself. It's one of these moments that perfectly captures why this remake works so well. I've watched this movie so many times, which, of course, is a rarity for me when it comes to Disney's live-action remakes. Every time a mediocre one comes out, I always find myself returning to Cinderella. It reminds me what a genuine, sincere live-action remake looks like when it's made with real care and respect for the original while still finding meaningful ways to expand on it. If this movie is in your favorites or your Letterboxd Top 4, you have my respect. Hats off to everyone who worked on this movie 🥰

Edward Burger (not Berger) ❤️🌈

180,633 просмотров • 13 дней назад